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POWERFUL, EFFICIENT, DETAILED AMR ROUTING
Implementing your automated meter reading (AMR) system requires significant resources, but using our solutions allows you to gain the most from your investment. Your ERTs and mobile collectors acquire monthly reads more efficiently than your historic walking and driving meter routes, but those legacy routes need to change to get the most from your AMR investment.
Maximize efficiency by reducing your reading days per month to as few as five when building geographically compact cycle days coupled with an increase in daily read rates. Our advanced AMR solvers incorporate varying read ranges of ERTs and create a driving travel path based on the minimum set of streets you’d need to travel to read every meter. This decreases travel distances, allowing you to significantly increase your daily read rate.
Following the RouteSmart-optimized AMR travel path is vital in order to maximize your AMR investment. We integrate our solution with Webfleet Solutions’ connected navigation to enable meter readers to precisely execute and track their optimized route in the field, without requiring extensive geographic knowledge or experience.
EVERYDAY FIELD SERVICE ROUTING CHALLENGES
Eliminate the cumbersome task of planning and executing survey and inspection processes by integrating our SaaS-based route optimization with inspection compliance software to automatically perform daily workload planning and geographic territory assignments for:
- Leak Surveys
- Cathodic Gas Inspections
- Hydrant, Valve and Pump PM’s
- Advanced Metering Infrastructure (AMI) Audits
Tackle the largest workload planning problems faced by a utility with our unique high-density address balancing and sequencing solvers, while ensuring that regulatory inspection and survey requirements get fulfilled effectively.
Electric, gas and water utilities can plan, optimize, balance and visualize workloads with a powerful route optimization toolset. You will feel confident knowing your crew can react and respond quickly to unplanned situations, like electric or gas outages, by targeting defined portions of a service area and determining the optimal number of crews required to restore service.